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This Developer Ran the 671 Billion Parameter DeepSeek-R1 Model—Without a GPU
- Software engineer John Leimgruber managed to run the massive, 671 billion parameter DeepSeek-R1 model without a GPU.
- John used a quantised, non-distilled version of the model which retained good quality despite compression.
- The model is built on 8 bits, making it efficient by default and reducing the file size.
- John successfully ran the model on a fast NVMe SSD by loading the KV cache into RAM and using memory mapping.
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Medium
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A New Era in Data Access: LLMs as Your Data Co-Pilots
- Companies like Uber, Merck, and leading manufacturers are leveraging AI language models (LLMs) to free up their data teams’ bandwidth, saving thousands of hours per month.
- The LLMs act as data 'co-pilots' by generating SQL queries from plain English, reducing bottlenecks and enabling faster decision-making.
- By integrating LLMs into dashboards or BI tools, companies can reduce the manual overhead of routine SQL tasks, allowing analysts to focus on more complex analyses.
- While LLM-powered SQL co-pilots redefine data accessibility and offer productivity gains, accuracy, security, and human oversight remain crucial.
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Medium
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Patterns, purpose and integration modalities in EDA integrations
- Properly classifying topics in event-driven architectures (EDA) is crucial for efficient and scalable integration.
- Without a clear structure, unnecessary coupling, system evolution challenges, and data governance issues can arise.
- This blog offers a framework based on three dimensions: integration pattern, purpose, and integration modality.
- The classification helps in understanding how EDA integrations should be approached and designed.
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VentureBeat
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The great software rewiring: AI isn’t just eating everything; it is everything
- AI is redefining the software industry by creating an AI-first world.
- In the AI-first world, software functions exist as dynamic, on-demand services accessible through AI-native interfaces.
- AI eliminates the need for individual apps and introduces conversational, predictive, and frictionless interfaces.
- The success in the next wave of technology will depend on building better AI experiences and specialized AI systems.
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Analyticsindiamag
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ServiceNow Nears $3 Billion Acquisition of AI Firm Moveworks
- ServiceNow is nearing a $3 billion acquisition of AI firm Moveworks.
- Moveworks specializes in AI-driven employee assistance tools and was valued at $2.1 billion in a 2021 funding round.
- ServiceNow develops software to streamline IT and personnel operations and has been integrating generative AI into its products.
- ServiceNow and Google Cloud expanded their partnership to integrate AI-driven enterprise technology.
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Analyticsindiamag
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IIT Professor Hints at AI Tools Being Allowed in JEE Exams Someday
- Professor Balaraman Ravindran from IIT Madras promotes embracing AI tools like ChatGPT and Perplexity AI, highlighting their transformative impact on problem-solving skills.
- Despite concerns about AI diminishing critical thinking skills, Ravindran believes these tools teach individuals to approach problems differently, aiding in tackling larger challenges effectively.
- Balaraman Ravindran, with over two decades of teaching experience at IIT Madras, acknowledged the challenges AI poses to educators, requiring them to adapt their teaching methods.
- To address students' reliance on AI tools, the department at IIT Madras introduced in-class assignments with disabled Wi-Fi, fostering continuous learning and testing basic concepts.
- Ravindran delivers NPTEL courses on reinforcement learning and machine learning, now available in regional languages for wider student access in collaboration with AI4Bharat.
- While acknowledging AI's democratization of advanced skills, Professor Ravindran believes that AI tutors cannot replace human teachers' empathy and psychological support, especially in higher education.
- Ravindran highlighted the need for teachers to provide added value in classrooms beyond teaching fundamentals, leveraging AI for personalized teaching methods based on students' comprehension levels.
- Regarding the impact of AI on critical thinking, Ravindran argued that technology advancements may affect certain skills like mental arithmetic but do not necessarily indicate reduced intelligence.
- Ravindran expressed the need for curriculum revision in India's education system to equip students with AI skills that enhance efficiency and capacity across various fields of work effectively.
- In advocating for a curriculum shift from coding to designing code structures and functional program modules, Ravindran emphasized the importance of emphasizing design principles over mere operation of AI tools.
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Analyticsindiamag
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Nielsen Opens New Offices in Mumbai and Bengaluru
- Nielsen has opened new offices in Mumbai and Bengaluru to drive growth and strengthen its technological capabilities in India.
- The Mumbai office spans 1,50,000 sq. ft., the Bengaluru facility covers 1,36,000 sq. ft., accommodating up to 1,500 employees each.
- The offices are designed with sustainability in mind and feature energy-efficient systems and modern workspaces.
- Nielsen is further expanding its footprint in India with upcoming offices in Gurgaon and Hyderabad.
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Analyticsindiamag
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Are Indian GCCs on Thin Ice? Lessons from Technicolor India’s Fall
- The recent closure of Technicolor India was a wake-up call for global capability centres (GCCs) and the VFX industry in India.
- The closure offers critical lessons in resilience, adaptability, and the future of India’s AVGC-XR sector.
- GCCs should be viewed as crucial support systems for parent companies and be integrated more deeply into overall strategy.
- Although AI-driven automation is transforming the VFX industry, complete automation of VFX remains unlikely.
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Medium
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Understanding IBM MQ Queue Types: A Technical and Practical Guide
- A local queue is a queue that physically resides on a queue manager, allowing PUT and GET operations.
- A remote queue is a logical definition pointing to a queue on a remote queue manager, used for sending messages to a destination queue on another system.
- A transmission queue (XMITQ) temporarily holds messages before sending them to a remote queue manager.
- The dead letter queue (DLQ) stores undeliverable or problematic messages, while the back-out queue stores messages that repeatedly fail application processing.
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Dev
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Recursion, Tail Recursion, and Recursive Data Structures: A Deep Dive 😎💻
- Recursion is a powerful tool in programming, involving a function calling itself to solve smaller instances of a problem, akin to a Russian nesting doll with base and recursive cases.
- Recursion's challenges include memory consumption issues due to call stack growth, leading to potential stack overflow errors.
- Tail recursion optimizes recursion into an iterative process by making the recursive call the last operation, improving efficiency and saving memory.
- A tail-recursive function example is shown using an accumulator to keep track of results with a clear exit strategy, enhancing efficiency.
- Recursive data structures like linked lists, binary trees, and graphs naturally complement recursion by breaking down problems into smaller, similar subproblems.
- Linked lists, structured as nodes linked to each other, and binary trees with left and right children exemplify recursion-friendly data structures.
- Graph traversal and processing connected components can also benefit from recursion, similarly to tree traversal.
- Recursion is elegant, powerful, and when combined with recursive data structures, becomes the ultimate problem-solving technique.
- Tail recursion enhances efficiency while retaining the elegance of recursion, offering an optimized approach.
- Recursive data structures inherently align with recursion, breaking problems into smaller subproblems that recursion naturally handles, making it a perfect match.
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Medium
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Generative AI in Every Second Company: Real Benefits for Cyber Identity
- Generative AI in Every Second Company: Real Benefits for Cyber Identity
- Generative AI takes traditional identity verification methods to the next level by enabling more sophisticated, adaptive authentication mechanisms.
- AI models can proactively detect and prevent fraudulent activities by analyzing anomalies in user behavior, login patterns, and transaction histories.
- Generative AI strengthens digital security through continuous identity verification, deepfake detection, and automating compliance monitoring.
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Medium
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A conversation with Nikolay Bedzhev: Leading International Expert in Maritime Simulation Technology
- Captain Nikolay Bedzhev, a maritime professional with expertise in navigation, engineering, and simulation technology, holds a Ph.D. in Ship’s Theory and is a lecturer at Nikola Vaptsarov Naval Academy in ship dynamics, artificial intelligence, and computational modeling.
- As the founder of NauticBlue, Captain Bedzhev developed the DNV-accredited Class S ViMarS Virtual Reality Simulator, integrating AI and real-time analytics to enhance vessel simulation and reduce operational risk.
- His post-graduate initiative, Simulation Engineering, combines traditional maritime knowledge with modern computational tools, reshaping maritime training and engineering with a focus on AI and dynamic simulations.
- Captain Bedzhev's career transition to a seafarer following a degree in electrical engineering led him to become a marine pilot and captain of a mega yacht, eventually pursuing a Ph.D. and embarking on an academic path since the late 2000s.
- His work on developing simulations, like ViMarS, has received national certification from DNV, impacting his career and research approach in merging simulation dynamics with AI tools for maritime education and operations.
- Captain Bedzhev integrates technologies like PHP, Django, Python, and C# in simulation development to enhance scalability, flexibility, and accuracy while focusing on real-time data integration and immersive training environments.
- Data-driven approaches, including the use of real measurement data for simulations, have been pivotal in refining models and developing AI-based tools for maritime risk assessment and decision-making.
- Artificial intelligence in maritime operations holds potential for improving navigation, risk management, and predictive maintenance, with AI tools seen as advisory rather than replacing human expertise.
- Captain Bedzhev sees AI impacting the maritime space initially by streamlining paperwork processes and improving operational efficiency through digitalization and automation.
- The future of maritime training involves incorporating AI, machine learning, and simulation-based learning to prepare professionals for advanced technological advancements and bridge theoretical knowledge with practical applications.
- Captain Bedzhev believes that AI in shipping should be viewed as a structured problem-solving approach and emphasizes the importance of developing highly educated professionals and pushing for higher industry standards.
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Medium
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croatian driving license
- The process of obtaining a driving license in Croatia is challenging.
- The written test covers detailed traffic laws, road signs, and safety rules, with a relatively high failure rate.
- The driving test is strict, with examiners closely evaluating skills such as parking, highway driving, and handling difficult traffic situations.
- Candidates must complete a mandatory driving school program, which includes a minimum of 35 hours of practical lessons, as part of the extensive training requirements.
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Medium
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Pine Script vs Python: Which One Should You Use for Algorithmic Trading?
- Pine Script is an easy-to-learn language with simplified syntax, ideal for traders inside TradingView.
- Python offers full automation, access to unlimited data sources, and advanced statistical modeling.
- Pine Script is best for building indicators, backtesting, and getting alerts in TradingView.
- Python is better for advanced execution algorithms, API-driven execution, and deeper data analysis.
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Medium
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Introduction:
- The historical background of AI – Alan Turing’s concept of machine intelligence in the 1950s. The development of the first AI programs and milestones.
- How AI is being used in different industries such as healthcare, education, finance, transportation, and entertainment. AI’s role in: Machine learning, deep learning, and natural language processing (NLP).
- How AI increases efficiency, saves time, and helps in cost-cutting. AI’s potential in solving complex problems like climate change, healthcare challenges, etc.
- Ethical concerns surrounding AI: Bias in algorithms, job displacement, and privacy issues. The risk of over-reliance on AI and the loss of human decision-making.
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